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TitleExploring the factor structure of neurocognitive measures in older individuals
Author(s)Santos, Nadine Correia
Costa, Patrício Soares
Amorim, Liliana
Moreira, Pedro Miguel Silva
Cunha, Pedro Guimarães
Cotter, Jorge
Sousa, Nuno
Issue date2015
PublisherPublic Library of Science
JournalPLoS ONE
CitationSantos NC, Costa PS, Amorim L, Moreira PS, Cunha P, Cotter J, et al. (2015) Exploring the Factor Structure of Neurocognitive Measures in Older Individuals. PLoS ONE 10(4)
Abstract(s)Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.
Publisher version
AccessOpen access
Appears in Collections:ICVS - Artigos em Revistas Internacionais com Referee

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